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The State of the Octoverse: Machine Learning - The GitHub Blog

2019-01-24 github.blog 480 GitHub

We decided to dig a little deeper into the state of machine learning and data science on GitHub. Read on to learn more about what we found.
The 25 Best Data Science Projects on GitHub from 2018 that you Should Not Miss

2018-12-26 www.analyticsvidhya.com 455 DataScience github computervision

2018 was a HUGE year in open source machine learning projects. Here's our pick of the bunch, with projects divided into different categories.
GitHub - jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images

2018-11-01 github.com 429 AI GitHub

A Deep Learning based project for colorizing and restoring old images - jantic/DeOldify
New A.I. application can write its own code - Futurity

2018-04-26 www.futurity.org 281 DeepLearning github

Teaching artificial intelligence to code and create software has been a holy grail of the field. The new system, which you can see in action for yourself, is a step in that direction.
GitHub: The top 10 programming languages for machine learning - TechRepublic

2019-01-25 www.techrepublic.com 229 MachineLearning GitHub DataScience

Online code repository GitHub has pulled together the 10 most popular programming languages used for machine learning hosted on its service, and, while Python tops the list, there's a few surprises on there.
GitHub - floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

2018-07-03 github.com 194 DeepLearning GitHub

GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
GitHub - daviddao/awful-ai: Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

2018-03-28 github.com 193 Github MachineLearning

GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
Using GitHub Actions for MLOps & Data Science - The GitHub Blog

2020-06-17 github.blog 168 Github

Background Machine Learning Operations (or MLOps) enables Data Scientists to work in a more collaborative fashion, by providing testing, lineage, versioning, and historical information in an automated way.  Because the landscape of MLOps is nascent,
GitHub - lexfridman/mit-deep-learning: Tutorials, assignments, and competitions for MIT Deep Learning related courses.

2019-01-07 github.com 124 Tensorflow deeplearning selfdrivingcars github MITDeepLearning DeepRL

Tutorials, assignments, and competitions for MIT Deep Learning related courses. - lexfridman/mit-deep-learning
GitHub - d2l-ai/d2l-en: Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

2019-01-06 github.com 105 DeepLearning MachineLearning AI GitHub

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions. - d2l-ai/d2l-en
GitHub - PAIR-code/lit: The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

2020-08-13 github.com 84 github machinelearning

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface. - PAIR-code/lit
BMW shares AI algorithms used in production, available on GitHub

2019-12-15 www.bmwblog.com 50 BMW AI GitHub

BMW has been implementing next-level production processes throughout its plants around the world for quite some time now. From robots carrying parts
GitHub - FavioVazquez/ds-cheatsheets: List of Data Science Cheatsheets to rule the world

2018-12-23 github.com 25 github

List of Data Science Cheatsheets to rule the world - FavioVazquez/ds-cheatsheets
GitHub - dsgiitr/d2l-pytorch: This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

2019-07-25 github.com 17 deeplearning github

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch. - dsgiitr/d2l-pytorch